AISによる予定航路情報と航海情報に基づく戦略的避航に関する研究-II : 交通管理海域における安全性・効率性評価

抄録

In order to improve the safety and the efficiency of ship operations, ATMS (Autonomous Traffic Management System) was developed in this study. Firstly, we used AIS data received from AIS of training ship "Shioji Maru" and ship's track data obtained from radar observation in Tokyo Bay to assess the traffic condition. Secondly, the optimal routes of all ships in the area for ATMS were calculated using Forward Dynamic Programming. On the actual routes, there were many dangerous encounters caused by ships simultaneously entering the voluntary traffic separation zone in the entrance of Tokyo Bay, and by southbound ships from Tokyo/Chiba area with ships sailing to/from Yokohama area. It was found that dangerous rate judged by SJ value, Bumper Model and DCPA/TCPA could be reduced when all ships navigated on their optimal routes. In addition, on the optimal routes provided by ATMS, total passage time could be shortened by 3.88% in the entrance of Tokyo Bay.